{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = 'all'  # default is ‘last_expr’\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('/Users/siyuyang/Source/Repos/GitHub_MSFT/CameraTraps')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "from collections import defaultdict\n",
    "from random import sample\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from tqdm import tqdm\n",
    "from azure.storage.blob import BlobServiceClient\n",
    "from PIL import Image\n",
    "\n",
    "# requires the TF Object Detection API be installed\n",
    "from detection.detector_eval import detector_eval  # detector_eval.py functions in this directory\n",
    "from visualization import visualization_utils as viz_utils"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MegaDetector v4 experiments - evaluation\n",
    "\n",
    "For MDv2 results, some locations in its training set are in this test set (MDv4 test set)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "mdv4boxes_label_path = '/Users/siyuyang/OneDrive - Microsoft/AI4Earth/CameraTrap/Databases/query_results/bboxes_20200123.json'\n",
    "\n",
    "res_dir = '/Users/siyuyang/OneDrive - Microsoft/AI4Earth/CameraTrap/MegaDetectorEval/megadetectorv4/mdv4_results'\n",
    "test_set_res_paths = {\n",
    "    'No transfer learning': '6851_detections_mdv4_nococo_run4_step840k_on_test_20200322221838.json',\n",
    "    'No transfer learning with hard negatives': '3438_detections_mdv4_nococo_run5_step1040k_on_test_20200322221923.json',\n",
    "    'Hard negatives from 1.5 epoch with augmentation': '9048_detections_mdv4_hardneg_run4_step1260k_on_test_20200322221759.json',\n",
    "    'Hard negatives from 2.5 epoch': '9158_detections_mdv4_hardneg_run3_step960k_on_test_20200322221633.json',\n",
    "    'Hard negatives from 1.5 epoch': '3998_detections_mdv4_hardneg_run2_step1080k_on_test_20200322221449.json',\n",
    "    'Hard negatives from start': '1838_detections_mdv4_hardneg_run1_step1010k_on_test_20200322221339.json',\n",
    "    \n",
    "    'Augmentation - orientation': '3858_detections_mdv4_aug_run5_step820k_on_test_20200313071922.json',\n",
    "    'Augmentation - orientation and color': '8411_detections_mdv4_aug_run4_step1160k_on_test_20200313071808.json',\n",
    "    'MDv4 baseline': '5247_detections_mdv4_baseline_run12_step520k_on_test_20200310001011.json',\n",
    "    'MDv4 baseline preliminary': '8542_detections_mdv4_baseline_run5_step735902_on_test_20200310014304.json',\n",
    "    'MDv3': '8583_detections_mdv3_on_test_20200310002010.json',\n",
    "    'MDv2': '1983_detections_mdv2_on_test_20200310004514.json'\n",
    "}\n",
    "\n",
    "\n",
    "out_dir = '/Users/siyuyang/OneDrive - Microsoft/AI4Earth/CameraTrap/MegaDetectorEval/megadetectorv4'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Matching label and predicted boxes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No transfer learning, number of results: 17023\n",
      "No transfer learning with hard negatives, number of results: 17023\n",
      "Hard negatives from 1.5 epoch with augmentation, number of results: 17023\n",
      "Hard negatives from 2.5 epoch, number of results: 17023\n",
      "Hard negatives from 1.5 epoch, number of results: 17023\n",
      "Hard negatives from start, number of results: 17023\n",
      "Augmentation - orientation, number of results: 17023\n",
      "Augmentation - orientation and color, number of results: 17023\n",
      "MDv4 baseline, number of results: 17023\n",
      "MDv4 baseline preliminary, number of results: 17023\n",
      "MDv3, number of results: 17023\n",
      "MDv2, number of results: 17023\n"
     ]
    }
   ],
   "source": [
    "test_set_res = {}\n",
    "for checkpoint_name, out_name in test_set_res_paths.items():\n",
    "    with open(os.path.join(res_dir, out_name)) as f:\n",
    "        test_set_res[checkpoint_name] = json.load(f)['images']\n",
    "    print('{}, number of results: {}'.format(checkpoint_name, len(test_set_res[checkpoint_name])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for numerical IDs from output files of the API, and names in the MegaDB\n",
    "label_map_name_to_id = {\n",
    "    'animal': 1,\n",
    "    'person': 2,\n",
    "    'vehicle': 3\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'file': 'mdv4_images/test/rspb_gola+899c8a74-3f14-11ea-b66d-9801a7a664ab.jpg',\n",
       " 'max_detection_conf': 1.0,\n",
       " 'detections': [{'category': '1',\n",
       "   'conf': 1.0,\n",
       "   'bbox': [0.0016, 0.2824, 0.2653, 0.3398]},\n",
       "  {'category': '1', 'conf': 0.068, 'bbox': [0.9802, 0.4392, 0.0177, 0.0373]},\n",
       "  {'category': '1', 'conf': 0.064, 'bbox': [0.9764, 0.4356, 0.0225, 0.0582]}]}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_set_res['MDv4 baseline'][100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17023"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# not used\n",
    "\n",
    "test_set = set([i['file'].split('/')[-1].split('.jpg')[0] for i in test_set_res['MDv4 baseline']])\n",
    "len(test_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(mdv4boxes_label_path) as f:\n",
    "    mdv4boxes_labels = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "480000"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "{'bbox': [{'category': 'person', 'bbox': [0.7821, 0.6417, 0.2178, 0.3316]},\n",
       "  {'category': 'person', 'bbox': [0, 0.2614, 0.2018, 0.29]}],\n",
       " 'file': 'Day/2/IMAG0462 (7).JPG',\n",
       " 'dataset': 'peaceparks_201908_humans',\n",
       " 'location': '7',\n",
       " 'download_id': 'peaceparks_201908_humans+8896d576-3f14-11ea-b3bb-9801a7a664ab'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(mdv4boxes_labels)\n",
    "mdv4boxes_labels[100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17023\n"
     ]
    }
   ],
   "source": [
    "mdv4boxes_labels_dict = {}\n",
    "for i in mdv4boxes_labels:\n",
    "    if i['download_id'] in test_set:\n",
    "        mdv4boxes_labels_dict[i['download_id']] = i\n",
    "print(len(mdv4boxes_labels_dict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'bbox': [{'category': 'animal', 'bbox': [0.02823, 0.2205, 0.02278, 0.08518]}],\n",
       " 'file': 'Maliau/Maliau_3/OG1-E-38/20120416-005602(2)10 of 10.jpg',\n",
       " 'dataset': 'zsl_borneo',\n",
       " 'location': 'OG1-E-38',\n",
       " 'download_id': 'zsl_borneo+88b7a35a-3f14-11ea-97a2-9801a7a664ab'}"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mdv4boxes_labels_dict['zsl_borneo+88b7a35a-3f14-11ea-97a2-9801a7a664ab']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compute metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "checkpoint_metrics = {}\n",
    "\n",
    "for checkpoint_name, detection_res in test_set_res.items():\n",
    "    print(checkpoint_name)\n",
    "    \n",
    "    per_image_gts, per_image_detections = detector_eval.get_per_image_gts_and_detections(\n",
    "        mdv4boxes_labels_dict, detection_res, label_map_name_to_id)\n",
    "        \n",
    "    print('Lengths of per_image_gts is {}, per_image_detections is {}'.format(\n",
    "        len(per_image_gts), len(per_image_detections)))\n",
    "    \n",
    "    per_cat_metrics = detector_eval.compute_precision_recall_bbox(per_image_detections, per_image_gts, 3, \n",
    "                                                    matching_iou_threshold=0.5)\n",
    "\n",
    "    checkpoint_metrics[checkpoint_name] = per_cat_metrics\n",
    "    print('one_class average precision is {}'.format(per_cat_metrics['one_class']['average_precision']))\n",
    "    print('-----------')\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot precision-recall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "categories = {\n",
    "    1: 'animal',\n",
    "    2: 'person',\n",
    "    3: 'vehicle',\n",
    "    'one_class': 'one class'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No transfer learning\n",
      "1\n",
      "0.8110217679949923\n",
      "2\n",
      "0.8262919828964835\n",
      "3\n",
      "0.5980134194869301\n",
      "one_class\n",
      "0.8121055770258437\n",
      "mAP is 0.7451090567928019\n",
      "-----------\n",
      "No transfer learning with hard negatives\n",
      "1\n",
      "0.8091978895099936\n",
      "2\n",
      "0.8243396988517779\n",
      "3\n",
      "0.5274949685649053\n",
      "one_class\n",
      "0.8107566696346687\n",
      "mAP is 0.7203441856422256\n",
      "-----------\n",
      "Hard negatives from 1.5 epoch with augmentation\n",
      "1\n",
      "0.8808927484628778\n",
      "2\n",
      "0.9360019026177049\n",
      "3\n",
      "0.8883341651863497\n",
      "one_class\n",
      "0.8889560714511969\n",
      "mAP is 0.901742938755644\n",
      "-----------\n",
      "Hard negatives from 2.5 epoch\n",
      "1\n",
      "0.8794483812775885\n",
      "2\n",
      "0.9356224318002138\n",
      "3\n",
      "0.8859221391356166\n",
      "one_class\n",
      "0.8874816862694309\n",
      "mAP is 0.9003309840711397\n",
      "-----------\n",
      "Hard negatives from 1.5 epoch\n",
      "1\n",
      "0.8678408870894192\n",
      "2\n",
      "0.9320881440231196\n",
      "3\n",
      "0.8851765609178232\n",
      "one_class\n",
      "0.8769869000245691\n",
      "mAP is 0.895035197343454\n",
      "-----------\n",
      "Hard negatives from start\n",
      "1\n",
      "0.8712561259885554\n",
      "2\n",
      "0.9268215382608769\n",
      "3\n",
      "0.8788040908428499\n",
      "one_class\n",
      "0.8792641846323521\n",
      "mAP is 0.8922939183640941\n",
      "-----------\n",
      "Augmentation - orientation\n",
      "1\n",
      "0.870304072630398\n",
      "2\n",
      "0.9271800300570575\n",
      "3\n",
      "0.8594251671616026\n",
      "one_class\n",
      "0.8787740228082245\n",
      "mAP is 0.8856364232830193\n",
      "-----------\n",
      "Augmentation - orientation and color\n",
      "1\n",
      "0.8787406488536282\n",
      "2\n",
      "0.9304135547689386\n",
      "3\n",
      "0.8975922278439338\n",
      "one_class\n",
      "0.8863874981788914\n",
      "mAP is 0.9022488104888335\n",
      "-----------\n",
      "MDv4 baseline\n",
      "1\n",
      "0.8770968087593881\n",
      "2\n",
      "0.9238208605690579\n",
      "3\n",
      "0.878451495712532\n",
      "one_class\n",
      "0.8837287615702089\n",
      "mAP is 0.8931230550136594\n",
      "-----------\n",
      "MDv4 baseline preliminary\n",
      "1\n",
      "0.8709978194962427\n",
      "2\n",
      "0.9191126796040261\n",
      "3\n",
      "0.8652467702711879\n",
      "one_class\n",
      "0.8776877228745031\n",
      "mAP is 0.8851190897904856\n",
      "-----------\n",
      "MDv3\n",
      "1\n",
      "0.8442173225893157\n",
      "2\n",
      "0.7993102020886732\n",
      "3\n",
      "0.0\n",
      "one_class\n",
      "0.833470328917\n",
      "mAP is 0.8217637623389944\n",
      "-----------\n",
      "MDv2\n",
      "1\n",
      "0.759173387989886\n",
      "2\n",
      "0.0\n",
      "3\n",
      "0.0\n",
      "one_class\n",
      "0.6459082089541535\n",
      "mAP is 0.759173387989886\n",
      "-----------\n"
     ]
    }
   ],
   "source": [
    "for checkpoint_name, per_cat_metrics in checkpoint_metrics.items():            \n",
    "    print(checkpoint_name)\n",
    "    average_precision_category = []\n",
    "    for cat in categories:\n",
    "        print(cat)\n",
    "        ave_prec = per_cat_metrics[cat]['average_precision']\n",
    "        print(ave_prec)\n",
    "        if cat in [1, 2, 3] and ave_prec > 0:\n",
    "            average_precision_category.append(ave_prec)\n",
    "    \n",
    "    mAP = sum(average_precision_category) / len(average_precision_category)\n",
    "    print('mAP is {}'.format(mAP))\n",
    "    print('-----------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "runs_to_show = ['MDv4 baseline', 'MDv3', 'MDv2']\n",
    "\n",
    "# Create two subplots sharing x axis\n",
    "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(6, 3), dpi=200, tight_layout=True)\n",
    "\n",
    "for cat, cat_label, ax in zip([1, 2], ['animal', 'person'], [ax1, ax2]):\n",
    "    for checkpoint_name, per_cat_metrics in checkpoint_metrics.items():\n",
    "        if checkpoint_name not in ['MDv4 baseline', 'MDv3', 'MDv2']:\n",
    "            continue\n",
    "            \n",
    "        _ = ax.plot(per_cat_metrics[cat]['recall'], per_cat_metrics[cat]['precision'], \n",
    "                    label=checkpoint_name,\n",
    "                    linewidth=1)  \n",
    "        _, _ = ax.set_xlim(left=0.0, right=1.0)\n",
    "        \n",
    "\n",
    "        _ = ax.set_xlabel('Recall')\n",
    "        _ = ax.set_ylabel('Precision')\n",
    "        _ = ax.set_title('category: ' + cat_label)\n",
    "\n",
    "lines, labels = fig.axes[-1].get_legend_handles_labels()\n",
    "_ = fig.legend(lines, labels, loc='upper center', bbox_to_anchor=(0.5, 0.108), ncol=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "runs_to_show = ['Augmentation - orientation', 'Augmentation - orientation and color',\n",
    "               'Hard negatives from start', 'Hard negatives from 1.5 epoch', \n",
    "                'Hard negatives from 2.5 epoch', 'Hard negatives from 1.5 epoch with augmentation',\n",
    "               'MDv4 baseline']\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(5, 6), dpi=200)\n",
    "\n",
    "for cat, cat_label in zip([1, 2, 3], ['animal', 'person', 'vehicle']):\n",
    "    for checkpoint_name, per_cat_metrics in checkpoint_metrics.items():\n",
    "        if checkpoint_name not in runs_to_show:\n",
    "            continue\n",
    "            \n",
    "        bbox = [0.1, -0.4 * cat, 0.5, 0.3]\n",
    "        ax = fig.add_axes(bbox)\n",
    "            \n",
    "        _ = ax.plot(per_cat_metrics[cat]['recall'], per_cat_metrics[cat]['precision'], \n",
    "                    label=checkpoint_name,\n",
    "                    linewidth=0.5)  \n",
    "        _, _ = ax.set_xlim(left=0.0, right=1.0)\n",
    "        _, _ = ax.set_ylim(bottom=0.0, top=1.0)\n",
    "        \n",
    "        if cat == 3:\n",
    "            _ = ax.set_xlabel('Recall')\n",
    "                        \n",
    "        _ = ax.set_ylabel('Precision')\n",
    "        _ = ax.set_title('category: ' + cat_label)\n",
    "\n",
    "lines, labels = fig.axes[-1].get_legend_handles_labels()\n",
    "_ = fig.legend(lines, labels, loc='upper center', bbox_to_anchor=(0.35, 1.5), fontsize='small')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 450x1200 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "runs_to_show = ['Augmentation - orientation', 'Augmentation - orientation and color',\n",
    "               'Hard negatives from start', 'Hard negatives from 1.5 epoch', \n",
    "                'Hard negatives from 2.5 epoch', 'Hard negatives from 1.5 epoch with augmentation',\n",
    "               'MDv4 baseline']\n",
    "\n",
    "\n",
    "fig, (ax1, ax2, ax3) = plt.subplots(nrows=3, sharex=True, figsize=(3, 8), dpi=150)\n",
    "\n",
    "\n",
    "for cat, cat_label, ax in zip([1, 2, 3], ['animal', 'person', 'vehicle'], [ax1, ax2, ax3]):\n",
    "    for checkpoint_name, per_cat_metrics in checkpoint_metrics.items():\n",
    "        if checkpoint_name not in runs_to_show:\n",
    "            continue\n",
    "            \n",
    "        _ = ax.plot(per_cat_metrics[cat]['recall'], per_cat_metrics[cat]['precision'], \n",
    "                    label=checkpoint_name,\n",
    "                    linewidth=0.5)  \n",
    "        _, _ = ax.set_xlim(left=0.0, right=1.0)\n",
    "        _, _ = ax.set_ylim(bottom=0.0, top=1.0)\n",
    "        \n",
    "        if cat == 3:\n",
    "            _ = ax.set_xlabel('Recall')\n",
    "            \n",
    "        _ = ax.set_ylabel('Precision')\n",
    "        _ = ax.set_title('category: ' + cat_label)\n",
    "\n",
    "lines, labels = fig.axes[-1].get_legend_handles_labels()\n",
    "_ = fig.legend(lines, labels, loc='center', bbox_to_anchor=(0.5, 0.1), fontsize='x-small')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_to_fig = {}\n",
    "for cat, cat_label in categories.items():\n",
    "    fig = matplotlib.figure.Figure(figsize=(3, 3), dpi=150)\n",
    "    ax = fig.add_axes((0, 0, 1, 1))\n",
    "    \n",
    "    for checkpoint_name, per_cat_metrics in checkpoint_metrics.items():\n",
    "        if checkpoint_name not in runs_to_show:\n",
    "            continue\n",
    "        \n",
    "        _ = ax.plot(per_cat_metrics[cat]['recall'], per_cat_metrics[cat]['precision'], \n",
    "                    label=checkpoint_name,\n",
    "                    linewidth=1)  \n",
    "    \n",
    "    _ = ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.2), shadow=False, ncol=2)\n",
    "    _, _ = ax.set_xlim(left=0.0, right=1.0)\n",
    "    \n",
    "    _ = ax.set_xlabel('Recall')\n",
    "    _ = ax.set_ylabel('Precision')\n",
    "    _ = ax.set_title('category: ' + cat_label)\n",
    "    \n",
    "    cat_to_fig[cat] = fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 450x450 with 1 Axes>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_to_fig[1]\n",
    "cat_to_fig[1].savefig('/Users/siyuyang/OneDrive - Microsoft/AI4Earth/CameraTrap/Docs/MDv4_MSJAR/visuals/prec_recall_baseline_animal.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 450x450 with 1 Axes>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_to_fig[2]\n",
    "cat_to_fig[2].savefig('/Users/siyuyang/OneDrive - Microsoft/AI4Earth/CameraTrap/Docs/MDv4_MSJAR/visuals/prec_recall_baseline_person.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 450x450 with 1 Axes>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_to_fig[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 450x450 with 1 Axes>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_to_fig['one_class']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Number of true and false positives"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "for checkpoint_name, per_cat_metrics in checkpoint_metrics.items():\n",
    "    \n",
    "    if checkpoint_name not in runs_to_show:\n",
    "        continue\n",
    "    \n",
    "    print('\\n{}'.format(checkpoint_name))\n",
    "    for category, metrics in per_cat_metrics.items():\n",
    "        print('category: {}'.format(category))\n",
    "        for score_threshold in [0.5, 0.8, 0.9, 0.97]:\n",
    "            total_tp = 0\n",
    "            total_fp = 0\n",
    "            for score, tp_fp in zip(metrics['scores'], metrics['tp_fp']):\n",
    "                if score > score_threshold:\n",
    "                    if tp_fp == 1:\n",
    "                        total_tp += 1\n",
    "                    else:\n",
    "                        total_fp += 1\n",
    "                        \n",
    "            ratio = total_tp/total_fp if total_fp > 0 else None\n",
    "            print('    score_threshold: {}, tp: {}, fp: {}, tp:fp ratio: {}'.format(\n",
    "                score_threshold, total_tp, total_fp, ratio))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize some results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_im_dir = '/Users/siyuyang/Source/temp_data/CameraTrap/samples/mdv4_test'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [],
   "source": [
    "runs_to_compare = ['MDv4 baseline', 'Augmentation - orientation and color']\n",
    "\n",
    "results_to_compare = {}\n",
    "\n",
    "test_set_files = set()\n",
    "\n",
    "for run_name in runs_to_compare:\n",
    "    res = test_set_res[run_name]\n",
    "    im_id_to_res = {}\n",
    "    for r in res:\n",
    "        download_id = r['file'].split('/')[-1].split('.jpg')[0]\n",
    "        test_set_files.add(download_id)\n",
    "        im_id_to_res[download_id] = r\n",
    "    results_to_compare[run_name] = im_id_to_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_threshold = 0.6\n",
    "\n",
    "very_diff_entries = []\n",
    "\n",
    "for download_id in test_set_files:\n",
    "    conf_scores = []\n",
    "    for run_name in runs_to_compare:\n",
    "        conf_scores.append(results_to_compare[run_name][download_id]['max_detection_conf'])\n",
    "    \n",
    "    if max(conf_scores) - min(conf_scores) > diff_threshold:\n",
    "        very_diff_entries.append(download_id)\n",
    "        \n",
    "len(very_diff_entries)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [],
   "source": [
    "sas_token = os.environ['SAS_TOKEN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [],
   "source": [
    "blob_service = BlobServiceClient(\n",
    "    account_url='cameratrapsc.blob.core.windows.net',\n",
    "    credential=sas_token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [],
   "source": [
    "samples = sample(test_set_files, 40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_im_dir = '/Users/siyuyang/Source/temp_data/CameraTrap/samples/mdv4_test_samples_2'\n",
    "\n",
    "container_client = blob_service.get_container_client('megadetectorv4-artifacts')\n",
    "for i in samples:\n",
    "    if not os.path.exists(os.path.join(test_im_dir, '{}.jpg'.format(i))):\n",
    "        with open(os.path.join(test_im_dir, '{}.jpg'.format(i)), 'wb') as f:\n",
    "            container_client.download_blob('mdv4_images/test/' + i + '.jpg').readinto(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_map = {\n",
    "    '1': 'animal',\n",
    "    '2': 'person',\n",
    "    '3': 'vehicle'  # will be available in megadetector v4\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "confidence_threshold = 0.5\n",
    "\n",
    "for download_id in samples:\n",
    "    print('\\n{}'.format(download_id))\n",
    "    \n",
    "    print('ground truth')\n",
    "    image = viz_utils.resize_image(viz_utils.open_image(os.path.join(test_im_dir, '{}.jpg'.format(download_id))), 600)\n",
    "    gt_bbox = mdv4boxes_labels_dict[download_id]['bbox']    \n",
    "    viz_utils.render_megadb_bounding_boxes(gt_bbox, image)\n",
    "    image\n",
    "    \n",
    "    for run_name in runs_to_compare:\n",
    "        print(run_name, results_to_compare[run_name][download_id]['max_detection_conf'])\n",
    "        detections = results_to_compare[run_name][download_id]['detections']\n",
    "        \n",
    "        # need to reload the image for each rendering\n",
    "        image = viz_utils.resize_image(viz_utils.open_image(os.path.join(test_im_dir, '{}.jpg'.format(download_id))), 600)\n",
    "\n",
    "        viz_utils.DetectorUtils.render_detection_bounding_boxes(detections, image, label_map=label_map,\n",
    "                                              confidence_threshold=confidence_threshold)\n",
    "        image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:cameratraps] *",
   "language": "python",
   "name": "conda-env-cameratraps-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
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